How to make AI explainable?
• Have you ever wondered how AI reaches its decisions? The challenge is crucial: to enable humans to understand the results of an Artificial Intelligence system.
• Explainable AI techniques combine methods and processes designed to show the operating logic of an algorithm and provide clear explanations to users of how AI makes decisions.
• There are already myriad techniques depending on context, target audience and the impact of the algorithm. And that’s without factoring in the development of generative AI systems, which raises new challenges in terms of explainability techniques.
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• Explainable AI techniques combine methods and processes designed to show the operating logic of an algorithm and provide clear explanations to users of how AI makes decisions.
• There are already myriad techniques depending on context, target audience and the impact of the algorithm. And that’s without factoring in the development of generative AI systems, which raises new challenges in terms of explainability techniques.
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